The application of robotics in plastic and reconstructive surgery: A systematic review.

BACKGROUND: Robotic assisted surgery (RAS) has seen significant advancement in many surgical specialties, although the application of robotics in plastic and reconstructive surgery remains to be widely established. This systematic review aims to assess the role of RAS in plastic and reconstructive surgery. METHODS: The review protocol was published and registered a priori as CRD42024507420. A comprehensive electronic search for relevant studies was performed in MEDLINE, Embase and Google scholar databases. RESULTS: Overall, 132 studies were initially identified, of which, 44 studies satisfied the eligibility criteria with a cumulative total of 239 patients. RAS demonstrated a high degree of procedural success and anastomotic patency in microvascular procedures. There was no significant difference in periprocedural adverse events between robotic and manual procedures. CONCLUSION: RAS can be feasibly implemented in plastic and reconstructive surgery with a good efficacy and safety profile, particularly for microsurgical anastomosis and trans-oral surgery.

An Evaluation of the Presence of Diversity, Equity, and Inclusion Information on Plastic Surgery Residency Program Websites.

BACKGROUND: Increasing the diversity of plastic surgery trainees is an important step in providing optimal care for our increasingly diverse patient populations. Given that information presented on residency programs' websites can strongly influence applicants' decisions to apply to or rank a program, demonstrating a commitment to diversity, equity, and inclusion (DEI) on program websites may aid in recruiting applicants with URM background. METHODS: Using 8 DEI-related criteria, we evaluated the websites of 103 plastic surgery residency programs for the presence of DEI-related content during the month of June 2022. Each program was evaluated by 2 individual graders. We analyzed the data with confirmatory factor analysis in R using the Lavaan package. RESULTS: On average, programs fulfilled 2.1 ± 1.6 of the metrics with a range of 0-7 fulfilled per program. Our model revealed that the criteria were a high-quality (P < 0.0001) measure of DEI-related metrics. There was a significant association between program size and presence of DEI-related criteria (linear 0.039; quadratic -0.005; both P < 0.01), such that mid-sized programs (16-18 residents) had the highest quality of DEI advertising compared to both small and large programs. Programs associated with a USNWR Top 20 Hospital were less likely to achieve high level of DEI-related criteria than other programs (P < 0.0001). CONCLUSION: Mid-sized programs had greater DEI quality on their websites, while smaller and larger programs similarly had poorer assessed quality. There is room for all programs to improve the presence of DEI-related material on their websites, especially related to care of transgender populations.

Trends in Gender Authorship of Abstract Presentations at Plastic Surgery the Meeting: A Decade Long Analysis.

ABSTRACT: Current literature fails to examine gender differences of authors presenting abstracts at national plastic surgery meetings. This study aims to assess the ratio of female to male abstract presentations at Plastic Surgery The Meeting (PSTM).The gender of all abstract presenters from PSTM between 2010 and 2020 was recorded. The primary outcome variable was authorship (first, second, or last). Trends in gender authorship were assessed via Cochran-Armitage trend tests. Chi-square was utilized to evaluate the association between author gender and presentation type and author gender and subspecialty.Between 2010 and 2020, 3653 abstracts were presented (oral = 3035, 83.1%; poster = 618, 16.9%) with 19,328 (5175 females, 26.8%) authors. Of these, 34.5%, 32.0%, and 18.6% of first, second, and last authors were female, respectively. The total proportion of female authors increased from 153 (20.4%) in 2010 to 1065 (33.1%) by 2020. The proportion of female first, second, and last authors increased from 21.8% to 44.8%, 24.0% to 45.3%, and 14.3% to 22.1%, respectively, and demonstrated a positive linear trend ( P < 0.001 ). The proportion of female first authors in aesthetics (23.9%) was lower than that for breast (41.8%), cranio/maxillofacial/head & neck (38.5%), practice management (43.3%), and research/technology (39.4%) ( P < 0.001 ).Our study demonstrates a significant increase in female representation as first, second, and last authors in abstract presentations at PSTM within the last decade, although the absolute prevalence remains low.

Large Language Models for Intraoperative Decision Support in Plastic Surgery: A Comparison between ChatGPT-4 and Gemini.

Background and Objectives: Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons' cognitive loads and improving patients' outcomes. This study aimed to assess and compare the current state of the two most common and readily available LLMs, Open AI's ChatGPT-4 and Google's Gemini Pro (1.0 Pro), in providing intraoperative decision support in plastic and reconstructive surgery procedures. Materials and Methods: We presented each LLM with 32 independent intraoperative scenarios spanning 5 procedures. We utilized a 5-point and a 3-point Likert scale for medical accuracy and relevance, respectively. We determined the readability of the responses using the Flesch-Kincaid Grade Level (FKGL) and Flesch Reading Ease (FRE) score. Additionally, we measured the models' response time. We compared the performance using the Mann-Whitney U test and Student's t-test. Results: ChatGPT-4 significantly outperformed Gemini in providing accurate (3.59 ± 0.84 vs. 3.13 ± 0.83, p-value = 0.022) and relevant (2.28 ± 0.77 vs. 1.88 ± 0.83, p-value = 0.032) responses. Alternatively, Gemini provided more concise and readable responses, with an average FKGL (12.80 ± 1.56) significantly lower than ChatGPT-4's (15.00 ± 1.89) (p < 0.0001). However, there was no difference in the FRE scores (p = 0.174). Moreover, Gemini's average response time was significantly faster (8.15 ± 1.42 s) than ChatGPT'-4's (13.70 ± 2.87 s) (p < 0.0001). Conclusions: Although ChatGPT-4 provided more accurate and relevant responses, both models demonstrated potential as intraoperative tools. Nevertheless, their performance inconsistency across the different procedures underscores the need for further training and optimization to ensure their reliability as intraoperative decision-support tools.

Students Matriculating into Integrated Plastic Surgery: Are all Medical Schools Equal?

INTRODUCTION: Becoming a craniofacial/pediatric plastic surgeon depends on completing a plastic surgery (PS) residency. As medical school curricula for PS exposure are highly inconsistent, the authors investigated whether there was an association between the presence of PS elective rotations and/or home programs in medical schools with the proportion of students matriculating into integrated PS residency. METHODS: A list of 198 medical schools was compiled from the Association for American Medical Colleges and the American Association of Colleges of Osteopathic Medicine. Plastic surgery residency programs were identified by the American Society of Plastic Surgery and the American Council of Educators in Plastic Surgery. Plastic surgery elective rotation offerings and recent matches (2021-2022) were obtained from school websites. Mean proportions of students matriculating into PS between schools that did versus did not have PS elective rotations and/or home PS residency programs were compared. RESULTS: One hundred fifty-nine medical schools were included. Seventy-seven of 159 (48%) had both PS elective rotations and home program(s), 63/159 (40%) offered PS elective rotations only, and 19/159 (12%) had neither. The mean proportions of students matriculating differed significantly ( P <0.001) among schools without PS electives or a home program [0.09%, 95% confidence interval (CI): -0.04% to 0.21%), PS elective only (0.51%, 95% CI: 0.25%-0.77%), and both PS elective and home program(s) (1.14%, 95% CI: 0.92%-1.37%). CONCLUSION: The presence of elective PS rotations and a home PS residency program significantly increase the chances of matriculation into integrated PS residency programs.

Ethical Challenges for Plastic Surgery in Treating Internationally Adopted Children With Cleft Lip and Palate.

A large number of children with cleft lip and palate (CLP) were adopted to Sweden in the last decade, mainly from China. Most of the children arrived with unoperated palates and at later ages than earlier years. This article aims to present an overview of ethical challenges within the practice of international adoption of children with CLP from the perspective of plastic surgery in a welfare health care system. An overview of CLP treatment is presented, followed by a normative discussion and ethical analysis using the 4 principles of Beauchamp and Childress: non-maleficence, beneficence, autonomy, and justice. The following themes and subthemes were analyzed: the search for normality and the potential challenge of being adopted and having CLP-treatment autonomy of the child and future preferences, adoptive parents' expectations of plastic surgery, the journey of the adoptee and the adoptive parents; and general issues-reconstructive possibilities and consequences of CLP in the country of origin, information to the adoptive parents, health care needs, and reconstructive possibilities for children with CLP in the receiving country. Clinical implications are discussed, and suggestions for future research are provided.

Artificial intelligence in maxillofacial and facial plastic and reconstructive surgery.

PURPOSE OF REVIEW: To provide a current review of artificial intelligence and its subtypes in maxillofacial and facial plastic surgery including a discussion of implications and ethical concerns. RECENT FINDINGS: Artificial intelligence has gained popularity in recent years due to technological advancements. The current literature has begun to explore the use of artificial intelligence in various medical fields, but there is limited contribution to maxillofacial and facial plastic surgery due to the wide variance in anatomical facial features as well as subjective influences. In this review article, we found artificial intelligence's roles, so far, are to automatically update patient records, produce 3D models for preoperative planning, perform cephalometric analyses, and provide diagnostic evaluation of oropharyngeal malignancies. SUMMARY: Artificial intelligence has solidified a role in maxillofacial and facial plastic surgery within the past few years. As high-quality databases expand with more patients, the role for artificial intelligence to assist in more complicated and unique cases becomes apparent. Despite its potential, ethical questions have been raised that should be noted as artificial intelligence continues to thrive. These questions include concerns such as compromise of the physician-patient relationship and healthcare justice.

Paucity of Online Information About Gender-Affirming Surgery Fellowships in the United States.

BACKGROUND: Despite growing demand for gender-affirming surgery (GAS), there are few formal GAS fellowships in the United States. Paucity of online information about GAS fellowships may discourage potential applicants and decrease the visibility of the field. Thus, it is important to analyze the existing online information about GAS fellowships to improve fellow recruitment and patient outcomes. OBJECTIVE: To identify the number of GAS fellowship websites (GASFWs) and evaluate their robustness. Second, to report the social media presence of GAS fellowships. METHODS: To identify GASFWs, existing databases sponsored by plastic surgery associations and Google query were used between April and May 2023. Thirty-five independent variables based on previously published data were evaluated for presence in a bivariate fashion on GASFWs. Accounts on popular social media websites were also identified by Google query. Website and social media analysis were also done for GAS fellowships that were offered by departments/specialties other than plastic surgery. RESULTS: In total, only 6 GASFWs associated with plastic surgery departments were identified and analyzed. Eight nonplastic surgery GASFWs were included for analysis. Overall, both categories of GASFWs were not robust; key information such as previous fellow listing and selection criteria was often missing. Furthermore, important topics specifically related to GAS such as community engagement and programmatic building are often not found on GASFWs either. In addition, none of the fellowships had any independent Facebook, Instagram, or Twitter. CONCLUSIONS: To ensure patient safety and quality outcomes, it is important to promote GAS by recruiting more applicants for specialized training beyond residency. With increased Internet use, improving GASFWs and social media presence as well as considering the use of a centralized database or match system can foster the growth of the field.

Ergonomics in facial plastic and reconstructive surgery.

PURPOSE OF REVIEW: Understanding effective ergonomic interventions is crucial for enhancing occupational health and career longevity. There is a paucity of clear ergonomics guidelines in facial plastic and reconstructive surgery (FPRS), placing practitioners at high risk of work-related musculoskeletal disorders (WMSDs) and their consequences. RECENT FINDINGS: There is mounting evidence that FPRS specialists are at increased risk of WMSDs as compared with the public and other surgical specialties. Numerous studies have demonstrated that implementation of ergonomics principles in surgery decreases WMSDs. Furthermore, WMSDs are reported as early as the first year of surgical residency, marking the importance of early intervention. SUMMARY: Fatigue and physical injuries among surgeons occur more often than expected, particularly during complex, extended procedures that necessitate maintaining a constant posture. FPRS procedure often place surgeons into procrustean positions. Thus, integrating ergonomic practices into the practice of FPRS is essential for reducing WMSDs.

Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review.

PURPOSE OF REVIEW: Arguably one of the most disruptive innovations in medicine of the past decade, artificial intelligence is dramatically changing how healthcare is practiced today. A systematic review of the most recent artificial intelligence advances in facial plastic surgery is presented for surgeons to stay abreast of the latest in our field. RECENT FINDINGS: Artificial intelligence applications developed for use in perioperative patient evaluation and management, education, and research in facial plastic surgery are highlighted. Selected themes include automated facial analysis with landmark detection, automated facial palsy grading and emotional assessment, generation of artificial facial profiles for testing and model training, automated postoperative patient communications, and improving ethnicity-sensitive facial morphometry norms. Inherent bias can exist in artificial intelligence models, and care must be taken to utilize algorithms trained with diverse datasets. SUMMARY: Artificial intelligence tools are helping clinicians provide more standardized, objective, and efficient care to their patients. Increasing surgeon awareness of available tools, and their widespread implementation into clinical workflows are the next frontier. Ethical considerations must also shape the adoption of any artificial intelligence functionality. As artificial intelligence applications become a fixture in medicine, surgeons must employ them effectively to stay at the vanguard of modern medicine.